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The marketing landscape is undergoing a dramatic transformation driven by artificial intelligence. AI has evolved beyond a mere marketing assistant that expedites tasks. With AI Agents, marketers can now delegate entire tasks, from initiation to completion.
Despite the current hype surrounding AI, its impact on the future is undeniable and likely to be permanent. Amara’s Law perfectly understands the current situation.
What is Amara’s Law?
The law says that we often overestimate a technology’s short-run impact and underestimate its long-run impact. This is very similar to Gartner’s Hype Cycle.
With so much hype around AI, it can be very overwhelming. So, it’s critical to look beyond all the hype and figure out real-world AI uses and how to fit those solutions into your business workflows.
Rise of AI Agents
“AI Agents” has to be the buzzword for 2025. You might have seen people talking about it on Twitter, LinkedIn, YouTube, and other platforms. There are a lot of opinions; some say it’s just hype, and a few say it’s the next big thing. So it comes down to: But is it worth all the hype?
AI agents are intelligent, autonomous systems that understand natural language and leverage business context to reason through complex tasks and take action on your behalf, while operating within set guardrails.
If we look at Customer Engagement specifically, there are tons of practical use cases. Its usage ranges from campaign creation to onboarding to analytics/optimization.
1. Campaign Creation
If we specifically look at campaign creation, the AI agents can do everything from –
- Choosing an audience segment
- Crafting campaign content
- Deciding the best channel and time to send
The current way we’re segmenting users with filters works, but it’s not super easy to learn. It takes time to create segments using filters, and you need to know your events and attributes pretty well. This means marketers need to seek additional support.
However, using AI agents, you can effortlessly create targeted customer segments in seconds using natural language.
Creating a segment is as easy as typing a prompt like “Identify customers who abandoned the credit card application process”. That’s it.
Basically, you can use AI agents to turn ideas for a customer segment into reality with just one instruction. It’s super quick to get things done this way, and you don’t need to learn anything complicated or leverage additional tools.
2. Customer Journey Orchestration
Building adequate multi-touch flows for customer experiences is often time-consuming and complex, involving intricate logic and a steep learning curve. AI Agents addresses this by using AI to translate customer journey ideas into optimized flows instantly.
This AI-driven approach dramatically reduces build time, enabling marketers to brainstorm and ideate with AI, focusing on strategy and creativity. Customers can create and refine flows using natural language and receive tailored recommendations.
3. Analytics & Optimization
AI Agents can also assist in –
- Data Querying – Ask in natural language to create appropriate charts for the data.
- Data Monitoring – AI detects an anomaly and conducts RCA and regression models to uncover the “why” for the movement of your metrics.
- Data Interpretation – AI explains what’s happening in a chart/data.
4. Decisioning Agents
Marketers face the challenge of moving from “best fit for a segment” to “true 1:1 fit for an individual”. This requires optimizing interactions with the right message and incentive, for each customer, in the right channel, at the right time and frequency – something that’s not humanly possible at scale.
Decision-making agents address this by leveraging Reinforcement Learning and Generative AI to enhance user context. They optimize delivery by determining the best message copy, send time, and channel.
Incrementality testing can measure the impact of decision-making agents, providing transparency in decision-making. This enables marketers to achieve more effective and personalized customer experiences.
Benefits of AI Agents
Implementing AI agents for customer engagement has multiple benefits. The benefits of AI agents extend beyond simple automation, creating value through enhanced efficiency, cost optimization, real-time audience insights, and elevated customer experiences.
Here are a few –
- Improved Productivity: AI agents handle routine inquiries and tasks simultaneously, freeing human agents to focus on complex issues. They operate in real-time to provide the latest customer insights. This seamless workflow integration allows businesses to accomplish more with existing resources.
- Reduced Costs: By automating repetitive tasks, brands can significantly lower operational expenses while maintaining a great customer experience.
- Improved Decision Making: AI agents analyze vast amounts of customer data to identify patterns and trends that might otherwise go unnoticed. They provide consistent, data-driven recommendations free from human biases or fatigue. Real-time insights allow brands to anticipate customer needs and proactively engage with them.
Impact of Generative AI on Customer Engagement
Generative AI continues to improve, driving growth in Customer Engagement across various segments. The number of martech software products has grown by a whopping 27.8% in the last 12 months, the highest in the last few years.
If we look back, adoption curves used to be measured in years. But with generative AI, adoption is growing in months or even weeks. One significant challenge is accurately gauging the real-time adoption of Generative AI. It’s like the Heisenberg uncertainty principle in quantum mechanics. This difficulty is akin to the Heisenberg uncertainty principle in quantum mechanics.
We can all agree that Generative AI has many useful use cases. However, multiple reports suggest marketers leverage it mainly for brainstorming campaign copy ideas and for writing the copy itself. That’s why we launched Merlin AI Copywriter and Designer last year.
With Merlin AI, we have successfully merged the advantages of Generative AI with the world of Customer Engagement. You can read more about it here.
Wrapping It Up
AI is transforming Customer Engagement beyond automation with intelligent AI agents handling complex marketing tasks autonomously. Despite the hype around AI agents and generative AI, they offer real benefits like improved productivity, cost savings, better decisions, and enhanced customer experience through streamlined processes and insightful analytics.
Leveraging Generative AI and AI agents is now critical for the sustained success and growth of consumer brands.
The post AI in Customer Engagement – AI Agents, Gen AI, Future and More appeared first on MoEngage.
